Intermittent streams play several important roles for both the organisms who inhabit them and the humans who rely on them for drinking water. As precipitation patterns shift in intensity and variability, the question arises of how variable streamflow patterns will impact downstream water quality. Fluorescent dissolved organic matter (fDOM), a proxy for dissolved organic carbon (DOC), varies with changing streamflow, but the constraints on these concentration-discharge (C-Q) relationships in intermittent streams are less known. To understand how different wetting and drying patterns influence the solute export from these systems, we examined fDOM C-Q relationships across three intermittent watersheds from 2022-2024 to (1) identify the C-Q behaviors during high and low flow events and (2) assess the drivers linked to these behaviors. We monitored fDOM using EXO water sensors deployed at the outlets of three streams: Kings Creek (KNZ), Shane’s Creek (SHN), and Youngmeyer Ranch (YMR). In our preliminary findings, we examined the percent contribution of carbon (C) export during high flow events for each year and site. Preliminary results show that C export during the top 10% of peak flows was high in 2022 at KNZ and YMR (82.4% and 66.7%, respectively), low in 2023 for KNZ and SHN but moderately the same for YMR (22.8%, 49.1%, and 63.4%, respectively), and high for all sites in 2024 (KNZ = 55.9%, YMR = 75.9%, and SHN = 99.2%). We plan to examine the frequency and duration of dry antecedent conditions and identify site- and year-specific C–Q behaviors using total C export alongside stream connectivity and conductivity. Although annual precipitation rates varied differently each year, other factors—such as total annual discharge—could influence export rates. Thus, predict that KNZ and SHN will shift between transport during years of high precipitation to source-limited during drier years, while YMR remains transport-limited across all conditions. Our analysis will reveal differences in fDOM C-Q behavior across intermittent stream networks in the Great Plains and identify key drivers of these C-Q behaviors. This work lays the foundation for better predicting how DOC loading will change under future climate and streamflow variability.